Prajwal Jagre

Prajwal Jagre

About

Detail

Operations Data Analyst | Power BI (PL - 300) Certified | MS in Business Analytics and Artificial Intelligence | Python | Power BI | AWS | SQL | Alteryx
United States

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Résumé

Jobs verified_user 0% verified
  • Humana
    Business Intelligence Analyst
    Humana
    Jun 2024 - Current (2 years 6 months)
  • Accenture in India
    Data Analyst
    Accenture in India
    Oct 2020 - Jun 2022 (1 year 9 months)
  • Magna Infotech A Quess Company
    Data Analyst
    Magna Infotech A Quess Company
    Aug 2018 - May 2020 (1 year 10 months)
Education verified_user 0% verified
  • The University of Texas at Dallas
    Master's degree, Business Analytics and Artificial Intelligence
    The University of Texas at Dallas
    Jan 2023 - Dec 2024 (2 years)
    Relevant Coursework: -Business Analytics with R -Advanced statistics for Data Science -Database Foundations for Business Analytics -Robotic Process Automation -Predictive Analytics -Prescriptive Analytics -Big Data -Time Series and Applied Econometrics -Cloud Computing Fundamentals
  • GH Raisoni College of EngineeringGHRCE Nagpur
    Bachelor of Engineering, Electrical, Electronics and Communications Engineering
    GH Raisoni College of EngineeringGHRCE Nagpur
    Jan 2016 - Dec 2020 (5 years)
    Relevant Coursework:

    -Database Management Systems
    -Television Engineering
    -IoT and Data Analytics
    -Optical Communications
    -AI and ML with R programming
Projects (professional or personal) verified_user 0% verified
  • U
    Umpire Reveiws Analysis (DRS) in Test Cricket
    Feb 2025 - Mar 2025 (2 months)
    This project is a Power BI dashboard that analyzes umpire decisions in Test cricket since the introduction of the Decision Review System (DRS). It provides insights into the effectiveness of reviews, decision accuracy, and behavioral patterns across teams and match contexts. The goal is to understand how DRS has impacted the game from a data perspective, using real-world match data and intuitive visualizations.
  • C
    Customer Churn Prediction using Machine Learning
    Sep 2024 - Oct 2024 (2 months)
    A telecom customer churn prediction project using machine learning. The project involves data cleaning, handling missing values, creating dummy variables, and feature engineering. It predicts potential churners using demographic and service usage data to help telecom companies improve customer retention strategies.
  • I
    In-Depth Analysis of Indian Premier League using Power BI
    Jul 2024 - Aug 2024 (2 months)
    This project is focused on analyzing the Indian Premier League (IPL) data to extract meaningful insights and patterns. By leveraging Power BI and various data analysis and visualization techniques, this project aims to provide a comprehensive understanding of the IPL matches, teams, players, and their performance over the years.